ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.04824
  4. Cited By
AdaPrompt: Adaptive Model Training for Prompt-based NLP

AdaPrompt: Adaptive Model Training for Prompt-based NLP

10 February 2022
Yulong Chen
Yang Liu
Li Dong
Shuohang Wang
Chenguang Zhu
Michael Zeng
Yue Zhang
    VLM
ArXivPDFHTML

Papers citing "AdaPrompt: Adaptive Model Training for Prompt-based NLP"

39 / 39 papers shown
Title
Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema
Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema
Xiaohan Feng
Xixin Wu
H. Meng
23
2
0
31 Dec 2024
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization
  of Scientific Topics
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics
Zhiwen You
Kanyao Han
Haotian Zhu
Bertram Ludäscher
Jana Diesner
28
1
0
02 Oct 2024
Prompt-tuning for Clickbait Detection via Text Summarization
Prompt-tuning for Clickbait Detection via Text Summarization
Haoxiang Deng
Yi Zhu
Ye Wang
Jipeng Qiang
Yunhao Yuan
Yun Li
Runmei Zhang
21
0
0
17 Apr 2024
Cross-lingual Offensive Language Detection: A Systematic Review of
  Datasets, Transfer Approaches and Challenges
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges
Aiqi Jiang
A. Zubiaga
AAML
26
3
0
17 Jan 2024
LaViP:Language-Grounded Visual Prompts
LaViP:Language-Grounded Visual Prompts
Nilakshan Kunananthaseelan
Jing Zhang
Mehrtash Harandi
VLM
8
0
0
18 Dec 2023
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt
  Engineer
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
Junyuan Hong
Jiachen T. Wang
Chenhui Zhang
Zhangheng Li
Bo-wen Li
Zhangyang Wang
38
29
0
27 Nov 2023
Integrating Language-Derived Appearance Elements with Visual Cues in
  Pedestrian Detection
Integrating Language-Derived Appearance Elements with Visual Cues in Pedestrian Detection
Sungjune Park
Hyunjun Kim
Y. Ro
37
11
0
02 Nov 2023
Constituency Parsing using LLMs
Constituency Parsing using LLMs
Xuefeng Bai
Jialong Wu
Yulong Chen
Zhongqing Wang
Yue Zhang
33
1
0
30 Oct 2023
A Communication Theory Perspective on Prompting Engineering Methods for
  Large Language Models
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models
Yuanfeng Song
Yuanqin He
Xuefang Zhao
Hanlin Gu
Di Jiang
Haijun Yang
Lixin Fan
Qiang Yang
30
3
0
24 Oct 2023
Chain-of-Thought Tuning: Masked Language Models can also Think Step By
  Step in Natural Language Understanding
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding
Caoyun Fan
Jidong Tian
Yitian Li
Wenqing Chen
Hao He
Yaohui Jin
LRM
32
3
0
18 Oct 2023
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
Yun Luo
Zhen Yang
Fandong Meng
Yafu Li
Jie Zhou
Yue Zhang
CLL
KELM
19
275
0
17 Aug 2023
PromptCARE: Prompt Copyright Protection by Watermark Injection and
  Verification
PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification
Hongwei Yao
Jian Lou
Kui Ren
Zhan Qin
AAML
VLM
27
25
0
05 Aug 2023
Scaling In-Context Demonstrations with Structured Attention
Scaling In-Context Demonstrations with Structured Attention
Tianle Cai
Kaixuan Huang
Jason D. Lee
Mengdi Wang
LRM
31
8
0
05 Jul 2023
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision
Ming Zhong
Siru Ouyang
Minhao Jiang
Vivian Hu
Yizhu Jiao
Xuan Wang
Jiawei Han
11
8
0
04 Jul 2023
Rethink the Effectiveness of Text Data Augmentation: An Empirical
  Analysis
Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis
Zhengxiang Shi
Aldo Lipani
32
2
0
13 Jun 2023
MolXPT: Wrapping Molecules with Text for Generative Pre-training
MolXPT: Wrapping Molecules with Text for Generative Pre-training
Zequn Liu
Wei Zhang
Yingce Xia
Lijun Wu
Shufang Xie
Tao Qin
M. Zhang
Tie-Yan Liu
20
66
0
18 May 2023
Knowledge Rumination for Pre-trained Language Models
Knowledge Rumination for Pre-trained Language Models
Yunzhi Yao
Peng Wang
Shengyu Mao
Chuanqi Tan
Fei Huang
Huajun Chen
Ningyu Zhang
KELM
27
3
0
15 May 2023
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
Zhengxiang Shi
Aldo Lipani
VLM
CLL
29
21
0
02 May 2023
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D
  Recognition
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition
Deepti Hegde
Jeya Maria Jose Valanarasu
Vishal M. Patel
CLIP
32
65
0
20 Mar 2023
Global Constraints with Prompting for Zero-Shot Event Argument
  Classification
Global Constraints with Prompting for Zero-Shot Event Argument Classification
Zizheng Lin
Hongming Zhang
Yangqiu Song
29
16
0
09 Feb 2023
On the Compositional Generalization Gap of In-Context Learning
On the Compositional Generalization Gap of In-Context Learning
Arian Hosseini
Ankit Vani
Dzmitry Bahdanau
Alessandro Sordoni
Aaron C. Courville
19
24
0
15 Nov 2022
GLUE-X: Evaluating Natural Language Understanding Models from an
  Out-of-distribution Generalization Perspective
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective
Linyi Yang
Shuibai Zhang
Libo Qin
Yafu Li
Yidong Wang
Hanmeng Liu
Jindong Wang
Xingxu Xie
Yue Zhang
ELM
33
79
0
15 Nov 2022
MACSum: Controllable Summarization with Mixed Attributes
MACSum: Controllable Summarization with Mixed Attributes
Yusen Zhang
Yang Liu
Ziyi Yang
Yuwei Fang
Yulong Chen
Dragomir R. Radev
Chenguang Zhu
Michael Zeng
Rui Zhang
26
15
0
09 Nov 2022
Beyond Prompting: Making Pre-trained Language Models Better Zero-shot
  Learners by Clustering Representations
Beyond Prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations
Yu Fei
Ping Nie
Zhao Meng
Roger Wattenhofer
Mrinmaya Sachan
VLM
45
20
0
29 Oct 2022
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
W. Yu
Chenguang Zhu
Zhihan Zhang
Shuohang Wang
Zhuosheng Zhang
Yuwei Fang
Meng-Long Jiang
LRM
ReLM
13
19
0
23 Oct 2022
Cross-domain Generalization for AMR Parsing
Cross-domain Generalization for AMR Parsing
Xuefeng Bai
Sen Yang
Leyang Cui
Linfeng Song
Yue Zhang
38
2
0
22 Oct 2022
Towards a Unified Multi-Dimensional Evaluator for Text Generation
Towards a Unified Multi-Dimensional Evaluator for Text Generation
Ming Zhong
Yang Liu
Da Yin
Yuning Mao
Yizhu Jiao
Peng Liu
Chenguang Zhu
Heng Ji
Jiawei Han
ELM
34
253
0
13 Oct 2022
Prompt-based Connective Prediction Method for Fine-grained Implicit
  Discourse Relation Recognition
Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition
Hao Zhou
Man Lan
Yuanbin Wu
YueFeng Chen
Meirong Ma
22
26
0
13 Oct 2022
Semantic-based Pre-training for Dialogue Understanding
Semantic-based Pre-training for Dialogue Understanding
Xuefeng Bai
Linfeng Song
Yue Zhang
30
7
0
19 Sep 2022
Transformers are Adaptable Task Planners
Transformers are Adaptable Task Planners
Vidhi Jain
Yixin Lin
Eric Undersander
Yonatan Bisk
Akshara Rai
20
24
0
06 Jul 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than
  In-Context Learning
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu
Derek Tam
Mohammed Muqeeth
Jay Mohta
Tenghao Huang
Mohit Bansal
Colin Raffel
33
848
0
11 May 2022
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient
  Framework
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
Xingcheng Yao
Yanan Zheng
Xiaocong Yang
Zhilin Yang
30
44
0
07 Nov 2021
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
W. Yu
Chenguang Zhu
Yuwei Fang
Donghan Yu
Shuohang Wang
Yichong Xu
Michael Zeng
Meng-Long Jiang
45
64
0
13 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,844
0
18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,918
0
31 Dec 2020
CTRLsum: Towards Generic Controllable Text Summarization
CTRLsum: Towards Generic Controllable Text Summarization
Junxian He
Wojciech Kry'sciñski
Bryan McCann
Nazneen Rajani
Caiming Xiong
211
138
0
08 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,587
0
21 Jan 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
410
2,584
0
03 Sep 2019
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,253
0
16 Jan 2013
1